Correlations between frailty index and inflammatory markers derived from blood cell count in the United States

Complete blood cell count (CBC)-derived inflammatory biomarkers are crucial indicators of adverse outcomes and possess predictive value for a wide range of diseases. The objective of this study was to evaluate the links between CBC-derived inflammatory biomarkers and frailty index. Information was g...

Full description

Saved in:
Bibliographic Details
Published in:BMC public health 2024-12, Vol.24 (1), p.3408-11, Article 3408
Main Authors: Han, Shaojie, Zhang, Zenghui, Cheng, Siyuan, Han, Yuchen, Wang, Qianyun, Xi, Yangbo, Li, Panpan, Li, Fengjuan, Guo, Jun
Format: Article
Language:English
Subjects:
Adults
Aged
Aged, 80 and over
Analysis
Angina pectoris
Biological markers
Biomarkers
Biomarkers - blood
Blood
Blood cell count
Blood Cell Count - statistics & numerical data
Blood cells
Body mass index
Cardiovascular disease
Care and treatment
Confidence intervals
Correlation
COVID-19
Cross-Sectional Studies
Diabetes
Epidemiology
Female
Frailty
Frailty - blood
Frailty - diagnosis
Frailty index
Genotype & phenotype
Health aspects
Humans
Hypertension
Indicators
Inflammation
Inflammation - blood
Inflammation biomarkers
Inflammatory response
Leukocytes
Leukocytes (neutrophilic)
Lymphocytes
Male
Middle Aged
Monocytes
Mortality
Neutrophils
NHANES
Normal distribution
Nutrition Surveys
Nutritional status
Older people
Population studies
Questionnaires
Regression analysis
Sensitivity analysis
Statistical analysis
United States
Variables
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c445t-1dff05536a91e9266ba258cb81b3d7ceb01bee1d459db8ed2c16ca66d2f8c43a3
container_end_page 11
container_issue 1
container_start_page 3408
container_title BMC public health
container_volume 24
creator Han, Shaojie
Zhang, Zenghui
Cheng, Siyuan
Han, Yuchen
Wang, Qianyun
Xi, Yangbo
Li, Panpan
Li, Fengjuan
Guo, Jun
description Complete blood cell count (CBC)-derived inflammatory biomarkers are crucial indicators of adverse outcomes and possess predictive value for a wide range of diseases. The objective of this study was to evaluate the links between CBC-derived inflammatory biomarkers and frailty index. Information was gathered from the National Health and Nutrition Examination Survey (NHANES) spanning the years 1999 to 2016. The research investigated the correlation between inflammatory biomarkers derived from CBC, including the neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), systemic inflammatory response index (SIRI), and systemic immune-inflammation index (SII), and Rockwood's frailty index, using logistic regression analyses. In total, the cross-sectional study involved 13,507 U.S. adults aged 50 and older, with 3,729 individuals (24%) meeting the criteria for frailty. After adjusting for confounding factors, elevated levels of logNLR (odds ratio [OR] 3.45, 95% confidence interval [CI] 2.52-4.73), logMLR (OR 3.58, 95% CI 2.44-5.25), logSIRI (OR 2.77, 95% CI 2.17-3.55), and logSII (OR 1.89, 95% CI 1.44-2.48) were significantly associated with an increased frailty index in the entire study population. We also found that frailty index and inflammatory biomarkers derived from CBC have a non-linear relationship by restricted cubic spline. Our findings indicate a correlation between frailty index and NLR, MLR, SIRI, and SII among elderly adults. Considering their wide accessibility in both clinical and laboratory practice, these biomarkers may be recommended as potential indicators for the development of frailty.
doi_str_mv 10.1186/s12889-024-20908-9
format article
fullrecord <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_dbf04d1481c0442ba13a299a1412782b</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A820524341</galeid><doaj_id>oai_doaj_org_article_dbf04d1481c0442ba13a299a1412782b</doaj_id><sourcerecordid>A820524341</sourcerecordid><originalsourceid>FETCH-LOGICAL-c445t-1dff05536a91e9266ba258cb81b3d7ceb01bee1d459db8ed2c16ca66d2f8c43a3</originalsourceid><addsrcrecordid>eNptkl1vFCEUhidGY2v1D3hhJvHGm6kcBmbhyjQbP5o08UJ7Tfg4s2WdgQps6_572d1aW2O4gMDzvnAOb9O8BnIKIIb3GagQsiOUdZRIIjr5pDkGtoCOMi6ePlgfNS9yXhMCC8Hp8-aol4PkjNPjJixjSjjp4mPIrcFyixjaMWk_lW3rg8NfrQ6ursZJz7MuMW3bWacfmHLrMPkbdBWPc2umGF1rcZpaGzehVElbrrC9DL5U5lvRBfPL5tmop4yv7uaT5vLTx-_LL93F18_ny7OLzjLGSwduHAnn_aAloKTDYDTlwhoBpncLi4aAQQTHuHRGoKMWBquHwdFRWNbr_qQ5P_i6qNfqOvn65K2K2qv9RkwrpVPxdkLlzEiYAybAEsao0dBrKqUGBnQhqKleHw5e1xszo7MYStLTI9PHJ8FfqVW8UQBDLUGI6vDuziHFnxvMRc0-7zqlA8ZNVv3uo3oKe_TtP-g6blKovaoUp4OkQrK_1ErXCurfxHqx3ZmqM0EJp6xnUKnT_1B1OJy9jQFHX_cfCehBYFPMOeF4XyQQtYucOkRO1cipfeSUrKI3D9tzL_mTsf43CCzSAg</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3152692894</pqid></control><display><type>article</type><title>Correlations between frailty index and inflammatory markers derived from blood cell count in the United States</title><source>Open Access: PubMed Central</source><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><source>Coronavirus Research Database</source><creator>Han, Shaojie ; Zhang, Zenghui ; Cheng, Siyuan ; Han, Yuchen ; Wang, Qianyun ; Xi, Yangbo ; Li, Panpan ; Li, Fengjuan ; Guo, Jun</creator><creatorcontrib>Han, Shaojie ; Zhang, Zenghui ; Cheng, Siyuan ; Han, Yuchen ; Wang, Qianyun ; Xi, Yangbo ; Li, Panpan ; Li, Fengjuan ; Guo, Jun</creatorcontrib><description>Complete blood cell count (CBC)-derived inflammatory biomarkers are crucial indicators of adverse outcomes and possess predictive value for a wide range of diseases. The objective of this study was to evaluate the links between CBC-derived inflammatory biomarkers and frailty index. Information was gathered from the National Health and Nutrition Examination Survey (NHANES) spanning the years 1999 to 2016. The research investigated the correlation between inflammatory biomarkers derived from CBC, including the neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), systemic inflammatory response index (SIRI), and systemic immune-inflammation index (SII), and Rockwood's frailty index, using logistic regression analyses. In total, the cross-sectional study involved 13,507 U.S. adults aged 50 and older, with 3,729 individuals (24%) meeting the criteria for frailty. After adjusting for confounding factors, elevated levels of logNLR (odds ratio [OR] 3.45, 95% confidence interval [CI] 2.52-4.73), logMLR (OR 3.58, 95% CI 2.44-5.25), logSIRI (OR 2.77, 95% CI 2.17-3.55), and logSII (OR 1.89, 95% CI 1.44-2.48) were significantly associated with an increased frailty index in the entire study population. We also found that frailty index and inflammatory biomarkers derived from CBC have a non-linear relationship by restricted cubic spline. Our findings indicate a correlation between frailty index and NLR, MLR, SIRI, and SII among elderly adults. Considering their wide accessibility in both clinical and laboratory practice, these biomarkers may be recommended as potential indicators for the development of frailty.</description><identifier>ISSN: 1471-2458</identifier><identifier>EISSN: 1471-2458</identifier><identifier>DOI: 10.1186/s12889-024-20908-9</identifier><identifier>PMID: 39695452</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adults ; Aged ; Aged, 80 and over ; Analysis ; Angina pectoris ; Biological markers ; Biomarkers ; Biomarkers - blood ; Blood ; Blood cell count ; Blood Cell Count - statistics &amp; numerical data ; Blood cells ; Body mass index ; Cardiovascular disease ; Care and treatment ; Confidence intervals ; Correlation ; COVID-19 ; Cross-Sectional Studies ; Diabetes ; Epidemiology ; Female ; Frailty ; Frailty - blood ; Frailty - diagnosis ; Frailty index ; Genotype &amp; phenotype ; Health aspects ; Humans ; Hypertension ; Indicators ; Inflammation ; Inflammation - blood ; Inflammation biomarkers ; Inflammatory response ; Leukocytes ; Leukocytes (neutrophilic) ; Lymphocytes ; Male ; Middle Aged ; Monocytes ; Mortality ; Neutrophils ; NHANES ; Normal distribution ; Nutrition Surveys ; Nutritional status ; Older people ; Population studies ; Questionnaires ; Regression analysis ; Sensitivity analysis ; Statistical analysis ; United States ; Variables</subject><ispartof>BMC public health, 2024-12, Vol.24 (1), p.3408-11, Article 3408</ispartof><rights>2024. The Author(s).</rights><rights>COPYRIGHT 2024 BioMed Central Ltd.</rights><rights>2024. This work is licensed under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2024 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c445t-1dff05536a91e9266ba258cb81b3d7ceb01bee1d459db8ed2c16ca66d2f8c43a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11653688/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3152692894?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27901,27902,36989,36990,38493,43871,44566,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39695452$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Han, Shaojie</creatorcontrib><creatorcontrib>Zhang, Zenghui</creatorcontrib><creatorcontrib>Cheng, Siyuan</creatorcontrib><creatorcontrib>Han, Yuchen</creatorcontrib><creatorcontrib>Wang, Qianyun</creatorcontrib><creatorcontrib>Xi, Yangbo</creatorcontrib><creatorcontrib>Li, Panpan</creatorcontrib><creatorcontrib>Li, Fengjuan</creatorcontrib><creatorcontrib>Guo, Jun</creatorcontrib><title>Correlations between frailty index and inflammatory markers derived from blood cell count in the United States</title><title>BMC public health</title><addtitle>BMC Public Health</addtitle><description>Complete blood cell count (CBC)-derived inflammatory biomarkers are crucial indicators of adverse outcomes and possess predictive value for a wide range of diseases. The objective of this study was to evaluate the links between CBC-derived inflammatory biomarkers and frailty index. Information was gathered from the National Health and Nutrition Examination Survey (NHANES) spanning the years 1999 to 2016. The research investigated the correlation between inflammatory biomarkers derived from CBC, including the neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), systemic inflammatory response index (SIRI), and systemic immune-inflammation index (SII), and Rockwood's frailty index, using logistic regression analyses. In total, the cross-sectional study involved 13,507 U.S. adults aged 50 and older, with 3,729 individuals (24%) meeting the criteria for frailty. After adjusting for confounding factors, elevated levels of logNLR (odds ratio [OR] 3.45, 95% confidence interval [CI] 2.52-4.73), logMLR (OR 3.58, 95% CI 2.44-5.25), logSIRI (OR 2.77, 95% CI 2.17-3.55), and logSII (OR 1.89, 95% CI 1.44-2.48) were significantly associated with an increased frailty index in the entire study population. We also found that frailty index and inflammatory biomarkers derived from CBC have a non-linear relationship by restricted cubic spline. Our findings indicate a correlation between frailty index and NLR, MLR, SIRI, and SII among elderly adults. Considering their wide accessibility in both clinical and laboratory practice, these biomarkers may be recommended as potential indicators for the development of frailty.</description><subject>Adults</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Analysis</subject><subject>Angina pectoris</subject><subject>Biological markers</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Blood</subject><subject>Blood cell count</subject><subject>Blood Cell Count - statistics &amp; numerical data</subject><subject>Blood cells</subject><subject>Body mass index</subject><subject>Cardiovascular disease</subject><subject>Care and treatment</subject><subject>Confidence intervals</subject><subject>Correlation</subject><subject>COVID-19</subject><subject>Cross-Sectional Studies</subject><subject>Diabetes</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Frailty</subject><subject>Frailty - blood</subject><subject>Frailty - diagnosis</subject><subject>Frailty index</subject><subject>Genotype &amp; phenotype</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Indicators</subject><subject>Inflammation</subject><subject>Inflammation - blood</subject><subject>Inflammation biomarkers</subject><subject>Inflammatory response</subject><subject>Leukocytes</subject><subject>Leukocytes (neutrophilic)</subject><subject>Lymphocytes</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Monocytes</subject><subject>Mortality</subject><subject>Neutrophils</subject><subject>NHANES</subject><subject>Normal distribution</subject><subject>Nutrition Surveys</subject><subject>Nutritional status</subject><subject>Older people</subject><subject>Population studies</subject><subject>Questionnaires</subject><subject>Regression analysis</subject><subject>Sensitivity analysis</subject><subject>Statistical analysis</subject><subject>United States</subject><subject>Variables</subject><issn>1471-2458</issn><issn>1471-2458</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkl1vFCEUhidGY2v1D3hhJvHGm6kcBmbhyjQbP5o08UJ7Tfg4s2WdgQps6_572d1aW2O4gMDzvnAOb9O8BnIKIIb3GagQsiOUdZRIIjr5pDkGtoCOMi6ePlgfNS9yXhMCC8Hp8-aol4PkjNPjJixjSjjp4mPIrcFyixjaMWk_lW3rg8NfrQ6ursZJz7MuMW3bWacfmHLrMPkbdBWPc2umGF1rcZpaGzehVElbrrC9DL5U5lvRBfPL5tmop4yv7uaT5vLTx-_LL93F18_ny7OLzjLGSwduHAnn_aAloKTDYDTlwhoBpncLi4aAQQTHuHRGoKMWBquHwdFRWNbr_qQ5P_i6qNfqOvn65K2K2qv9RkwrpVPxdkLlzEiYAybAEsao0dBrKqUGBnQhqKleHw5e1xszo7MYStLTI9PHJ8FfqVW8UQBDLUGI6vDuziHFnxvMRc0-7zqlA8ZNVv3uo3oKe_TtP-g6blKovaoUp4OkQrK_1ErXCurfxHqx3ZmqM0EJp6xnUKnT_1B1OJy9jQFHX_cfCehBYFPMOeF4XyQQtYucOkRO1cipfeSUrKI3D9tzL_mTsf43CCzSAg</recordid><startdate>20241218</startdate><enddate>20241218</enddate><creator>Han, Shaojie</creator><creator>Zhang, Zenghui</creator><creator>Cheng, Siyuan</creator><creator>Han, Yuchen</creator><creator>Wang, Qianyun</creator><creator>Xi, Yangbo</creator><creator>Li, Panpan</creator><creator>Li, Fengjuan</creator><creator>Guo, Jun</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20241218</creationdate><title>Correlations between frailty index and inflammatory markers derived from blood cell count in the United States</title><author>Han, Shaojie ; Zhang, Zenghui ; Cheng, Siyuan ; Han, Yuchen ; Wang, Qianyun ; Xi, Yangbo ; Li, Panpan ; Li, Fengjuan ; Guo, Jun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c445t-1dff05536a91e9266ba258cb81b3d7ceb01bee1d459db8ed2c16ca66d2f8c43a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adults</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Analysis</topic><topic>Angina pectoris</topic><topic>Biological markers</topic><topic>Biomarkers</topic><topic>Biomarkers - blood</topic><topic>Blood</topic><topic>Blood cell count</topic><topic>Blood Cell Count - statistics &amp; numerical data</topic><topic>Blood cells</topic><topic>Body mass index</topic><topic>Cardiovascular disease</topic><topic>Care and treatment</topic><topic>Confidence intervals</topic><topic>Correlation</topic><topic>COVID-19</topic><topic>Cross-Sectional Studies</topic><topic>Diabetes</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Frailty</topic><topic>Frailty - blood</topic><topic>Frailty - diagnosis</topic><topic>Frailty index</topic><topic>Genotype &amp; phenotype</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Indicators</topic><topic>Inflammation</topic><topic>Inflammation - blood</topic><topic>Inflammation biomarkers</topic><topic>Inflammatory response</topic><topic>Leukocytes</topic><topic>Leukocytes (neutrophilic)</topic><topic>Lymphocytes</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Monocytes</topic><topic>Mortality</topic><topic>Neutrophils</topic><topic>NHANES</topic><topic>Normal distribution</topic><topic>Nutrition Surveys</topic><topic>Nutritional status</topic><topic>Older people</topic><topic>Population studies</topic><topic>Questionnaires</topic><topic>Regression analysis</topic><topic>Sensitivity analysis</topic><topic>Statistical analysis</topic><topic>United States</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Han, Shaojie</creatorcontrib><creatorcontrib>Zhang, Zenghui</creatorcontrib><creatorcontrib>Cheng, Siyuan</creatorcontrib><creatorcontrib>Han, Yuchen</creatorcontrib><creatorcontrib>Wang, Qianyun</creatorcontrib><creatorcontrib>Xi, Yangbo</creatorcontrib><creatorcontrib>Li, Panpan</creatorcontrib><creatorcontrib>Li, Fengjuan</creatorcontrib><creatorcontrib>Guo, Jun</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>ProQuest - Health &amp; Medical Complete保健、医学与药学数据库</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>British Nursing Database</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Engineering Database</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Open Access: DOAJ - Directory of Open Access Journals</collection><jtitle>BMC public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Han, Shaojie</au><au>Zhang, Zenghui</au><au>Cheng, Siyuan</au><au>Han, Yuchen</au><au>Wang, Qianyun</au><au>Xi, Yangbo</au><au>Li, Panpan</au><au>Li, Fengjuan</au><au>Guo, Jun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Correlations between frailty index and inflammatory markers derived from blood cell count in the United States</atitle><jtitle>BMC public health</jtitle><addtitle>BMC Public Health</addtitle><date>2024-12-18</date><risdate>2024</risdate><volume>24</volume><issue>1</issue><spage>3408</spage><epage>11</epage><pages>3408-11</pages><artnum>3408</artnum><issn>1471-2458</issn><eissn>1471-2458</eissn><abstract>Complete blood cell count (CBC)-derived inflammatory biomarkers are crucial indicators of adverse outcomes and possess predictive value for a wide range of diseases. The objective of this study was to evaluate the links between CBC-derived inflammatory biomarkers and frailty index. Information was gathered from the National Health and Nutrition Examination Survey (NHANES) spanning the years 1999 to 2016. The research investigated the correlation between inflammatory biomarkers derived from CBC, including the neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), systemic inflammatory response index (SIRI), and systemic immune-inflammation index (SII), and Rockwood's frailty index, using logistic regression analyses. In total, the cross-sectional study involved 13,507 U.S. adults aged 50 and older, with 3,729 individuals (24%) meeting the criteria for frailty. After adjusting for confounding factors, elevated levels of logNLR (odds ratio [OR] 3.45, 95% confidence interval [CI] 2.52-4.73), logMLR (OR 3.58, 95% CI 2.44-5.25), logSIRI (OR 2.77, 95% CI 2.17-3.55), and logSII (OR 1.89, 95% CI 1.44-2.48) were significantly associated with an increased frailty index in the entire study population. We also found that frailty index and inflammatory biomarkers derived from CBC have a non-linear relationship by restricted cubic spline. Our findings indicate a correlation between frailty index and NLR, MLR, SIRI, and SII among elderly adults. Considering their wide accessibility in both clinical and laboratory practice, these biomarkers may be recommended as potential indicators for the development of frailty.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>39695452</pmid><doi>10.1186/s12889-024-20908-9</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1471-2458
ispartof BMC public health, 2024-12, Vol.24 (1), p.3408-11, Article 3408
issn 1471-2458
1471-2458
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_dbf04d1481c0442ba13a299a1412782b
source Open Access: PubMed Central; Publicly Available Content Database (Proquest) (PQ_SDU_P3); Coronavirus Research Database
subjects Adults
Aged
Aged, 80 and over
Analysis
Angina pectoris
Biological markers
Biomarkers
Biomarkers - blood
Blood
Blood cell count
Blood Cell Count - statistics & numerical data
Blood cells
Body mass index
Cardiovascular disease
Care and treatment
Confidence intervals
Correlation
COVID-19
Cross-Sectional Studies
Diabetes
Epidemiology
Female
Frailty
Frailty - blood
Frailty - diagnosis
Frailty index
Genotype & phenotype
Health aspects
Humans
Hypertension
Indicators
Inflammation
Inflammation - blood
Inflammation biomarkers
Inflammatory response
Leukocytes
Leukocytes (neutrophilic)
Lymphocytes
Male
Middle Aged
Monocytes
Mortality
Neutrophils
NHANES
Normal distribution
Nutrition Surveys
Nutritional status
Older people
Population studies
Questionnaires
Regression analysis
Sensitivity analysis
Statistical analysis
United States
Variables
title Correlations between frailty index and inflammatory markers derived from blood cell count in the United States
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T13%3A59%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Correlations%20between%20frailty%20index%20and%20inflammatory%20markers%20derived%20from%20blood%20cell%20count%20in%20the%20United%20States&rft.jtitle=BMC%20public%20health&rft.au=Han,%20Shaojie&rft.date=2024-12-18&rft.volume=24&rft.issue=1&rft.spage=3408&rft.epage=11&rft.pages=3408-11&rft.artnum=3408&rft.issn=1471-2458&rft.eissn=1471-2458&rft_id=info:doi/10.1186/s12889-024-20908-9&rft_dat=%3Cgale_doaj_%3EA820524341%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c445t-1dff05536a91e9266ba258cb81b3d7ceb01bee1d459db8ed2c16ca66d2f8c43a3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3152692894&rft_id=info:pmid/39695452&rft_galeid=A820524341&rfr_iscdi=true